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README.md
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@@ -53,25 +53,31 @@ This repository includes pretrained weights for:
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- Learn2SplatSparse: sparse-view reconstruction
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- Learn2SplatDense: dense-view reconstruction
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See MODEL_ZOO.md for details.
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------------------------------------------------------------------------
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## 🚀 Usage
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from transformers import AutoModel
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model_id = "autonomousvision/learn2splat"
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model = AutoModel.from_pretrained(model_id, trust_remote_code=True)
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model.eval()
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------------------------------------------------------------------------
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## 📚 Citation
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- Learn2SplatSparse: sparse-view reconstruction
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- Learn2SplatDense: dense-view reconstruction
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See (https://huggingface.co/autonomousvision/learn2splat/blob/main/MODEL_ZOO.md)[MODEL_ZOO.md] for details.
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------------------------------------------------------------------------
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## 🚀 Usage
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```python
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from transformers import AutoModel
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model_id = "autonomousvision/learn2splat"
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model = AutoModel.from_pretrained(model_id, trust_remote_code=True)
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model.eval()
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```
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------------------------------------------------------------------------
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## 📚 Citation
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```bibtex
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@article{
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pearl2026learn2splat,
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title={Learn2Splat: Extending the Horizon of Learned 3DGS Optimization},
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author={Pearl, Naama and Esposito, Stefano and Xu, Haofei and Peleg, Amit and Gschossmann, Patricia and Porzi, Lorenzo and Kontschieder, Peter and Pons-Moll, Gerard and Geiger, Andreas},
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journal={arXiv preprint},
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year={2026}
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}
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```
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